1554 search results for "regression"

Pearson’s r: Not a good measure of electoral persistence

December 30, 2012
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Pearson’s r: Not a good measure of electoral persistence

Pearson’s product-moment correlation, \(r\), is an incredibly useful tool for getting some idea about how two variables are (linearly) related. But there are times when using Pearson’s \(r\) is not appropriate and, even if linearity and all other assumptions hold, … Continue reading →

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My Intro to Multiple Classification with Random Forests, Conditional Inference Trees, and Linear Discriminant Analysis

December 27, 2012
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My Intro to Multiple Classification with Random Forests, Conditional Inference Trees, and Linear Discriminant Analysis

After the work I did for my last post, I wanted to practice doing multiple classification.  I first thought of using the famous iris dataset, but felt that was a little boring.  Ideally, I wanted to look for a practice … Continue reading →

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Oracle R Enterprise 1.3 released

December 26, 2012
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We're pleased to announce the latest release of Oracle R Enterprise, now available for download. Oracle R Enterprise 1.3 features new predictive analytics interfaces for in-database model building and scoring, support for in-database sampling and partitioning techniques, and transparent support for Oracle DATE and TIMESTAMP data types to facilitate data preparation for time series analysis and forecasting. Oracle...

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Who Survived on the Titanic? Predictive Classification with Parametric and Non-parametric Models

December 24, 2012
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Who Survived on the Titanic? Predictive Classification with Parametric and Non-parametric Models

I recently read a really interesting blog post about trying to predict who survived on the Titanic with standard GLM models and two forms of non-parametric classification tree (CART) methodology. The post was featured on R-bloggers, and I think it's worth a closer look. The basic idea was to figure out which of these three

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Get the party started

December 22, 2012
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Have you already used trees or random forests to model a relationship of a response and some covariates? Then you might like the condtional trees, which are implemented in the party package.In difference to the CART (Classification and Regression ...

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R Journal Volume 4, Issue 2

December 20, 2012
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The latest issue of the bi-annual, peer-reviewed journal about R, the R Journal, is now available for download. This issue includes three articles on graphics from R-core member and R Graphics author Paul Murrell. He writes about accessing individual elements of an R chart by the component names, drawing complex symbols with the polypath function (useful for map icons,...

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Turnovers are poison

December 20, 2012
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Turnovers are poison

This is probably a slightly useless post, but a bit of fun all the same. If nothing else, it allows me to take a stab at learning a bit more about logistic regression. I’m still trying to unravel the mystery of why the Bears lost to the Vikings two weeks ago. This mystery is compounded

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Generation of E-Learning Exams in R for Moodle, OLAT, etc.

December 20, 2012
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Generation of E-Learning Exams in R for Moodle, OLAT, etc.

(Guest post by Achim Zeileis) Development of the R package exams for automatic generation of (statistical) exams in R started in 2006 and version 1 was published in JSS by Gr?n and Zeileis (2009). It was based on standalone Sweave exercises, that can be combined …Read more »

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Italian elections (1)

December 19, 2012
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Italian elections (1)

You'd think that the last week before the holidays would be very quiet and not much would be going on. Well, if you did, you'd be wrong, I guess, as the last few days have been quite busy (for many reasons). Anyway, I managed to track down some be...

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Making Friends with Multicollinearity

December 18, 2012
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Not every system of independent variables can be decomposed into separate components, each with its own unique contribution.  Sometimes our individual variables behave “as a unit” and thus become so entangled that we cannot say where the effect of one variable begins and the effect of another variable ends.  In such cases, it might be best to ignore the ...

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